Predictive Analytics: Apply, Analyze & Interpret

Build practical predictive analytics skills and learn to turn complex data into actionable insights for business, finance, and research. You’ll begin with predictive modeling foundations, regression approaches, ANOVA, control charts, and Minitab before examining observations, NAV results, descriptive statistics, and case-based datasets involving customer complaints, health indicators, and loan applicants. You’ll learn to select, apply, and interpret t-tests, ANOVA, and chi-square tests; evaluate variable relationships through correlation analysis; and use Minitab to interpret statistical results. You’ll then develop regression skills by constructing scatterplots, formulating regression equations, identifying significant variables, computing predicted values, and evaluating p-values and t-values across demographic, scientific, and financial datasets. You’ll also implement and interpret statistical outputs using Minitab and Excel. Designed for learners who want to apply statistical reasoning to real-world data, this course combines predictive analytics theory with structured, practical examples. Its emphasis on both application and interpretation helps you move beyond calculating results to understanding what they mean. By the end, you’ll be able to identify patterns, evaluate statistical significance, build predictive and regression models, and translate analytical findings into informed decisions.